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基于卫星遥感观测的大型硅质系统动力学:阿根廷多穆约火山的有趣案例

The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina.

作者信息

Lundgren Paul, Girona Társilo, Bato Mary Grace, Realmuto Vincent J, Samsonov Sergey, Cardona Carlos, Franco Luis, Gurrola Eric, Aivazis Michael

机构信息

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.

Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, Canada.

出版信息

Sci Rep. 2020 Jul 15;10(1):11642. doi: 10.1038/s41598-020-67982-8.

DOI:10.1038/s41598-020-67982-8
PMID:32669561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7363862/
Abstract

Silicic magmatic systems are the most dangerous volcanoes on Earth, capable of large and catastrophic eruptions, yet their low eruptive frequency makes it challenging to interpret their short-term unrest. Here we present a decade-plus analysis that integrates, for the first time, time series of satellite interferometric synthetic aperture radar (InSAR) surface deformation and satellite thermal infrared edifice-scale surface warming at a large silicic system: Domuyo volcano, in Argentina. We find that deformation and warming are highly correlated, and depending on the sign and lag between the time series, either shallow sealing or magma influx could drive Domuyo's ongoing inflation (~ 0.15 m/year; from an InSAR-derived tabular source, ~ 11 × 8 × 1 km; ~ 6.5 km depth; ~ 0.037 km/year volume-change rate) and warming (0.3-0.4 °C/year). This study shows the potential that combined satellite surface deformation and edifice-scale surface warming time series have on assessing the physical mechanisms of silicic volcanic systems and for constraining deterministic models.

摘要

硅酸岩浆系统是地球上最危险的火山,能够引发大规模的灾难性喷发,然而其低喷发频率使得解读它们的短期活动状态具有挑战性。在此,我们展示了一项长达十多年的分析,该分析首次将大型硅酸岩浆系统(阿根廷的多穆约火山)的卫星干涉合成孔径雷达(InSAR)地表形变时间序列和卫星热红外火山体尺度地表升温时间序列进行了整合。我们发现形变与升温高度相关,根据时间序列之间的正负号和时间滞后情况,浅部封闭或岩浆注入都可能驱动多穆约火山目前的膨胀(约0.15米/年;源自InSAR的板状源,约11×8×1千米;约6.5千米深度;约0.037千米/年的体积变化率)以及升温(0.3 - 0.4℃/年)。这项研究表明,卫星地表形变和火山体尺度地表升温时间序列相结合在评估硅酸火山系统的物理机制以及约束确定性模型方面具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/be5498a46926/41598_2020_67982_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/1dad8d138d3f/41598_2020_67982_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/794a7f5cba2d/41598_2020_67982_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/33f0e98411b7/41598_2020_67982_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/7c77f6d748b4/41598_2020_67982_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/be5498a46926/41598_2020_67982_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/1dad8d138d3f/41598_2020_67982_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/794a7f5cba2d/41598_2020_67982_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/33f0e98411b7/41598_2020_67982_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/7c77f6d748b4/41598_2020_67982_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e5/7363862/be5498a46926/41598_2020_67982_Fig5_HTML.jpg

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本文引用的文献

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